CVE-2026-77604
Description détaillée
Code Graph RAG is an AI-powered knowledge graph and retrieval system for querying, understanding, and editing multi-language codebases. Prior to 0.0.345, the MCPToolsRegistry.read_file implementation in codebase_rag/mcp/tools.py joins attacker-controlled file_path input to project_root without resolving and verifying containment when offset or limit selects the paginated branch. An absolute path causes pathlib to discard the configured root, while relative traversal can also resolve outside it. The protected non-paginated branch uses validate_project_path, but the paginated branch bypasses that validation before opening the path. An unauthenticated caller of a network-exposed HTTP MCP server can therefore read arbitrary UTF-8-readable files available to the server process, including credentials, environment data, private keys, source, and configuration; local callers through the stdio transport can reach the same vulnerable code path. This issue is fixed in version 0.0.345.
Vecteur d'attaque (CVSS)
Dernières Vulnérabilités
CVE-2026-88986
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.15.0, the frontend routes /pipeline/k8s/pod and /pipeline/k8s/pod/events use frontend/server/k8s-helper.ts to include untrusted podname and podnamespace query values and backend error details in HTML-capable error responses. An unauthenticated attacker can craft a link that executes JavaScript in the frontend origin when a user who satisfies the deployment's authentication and route-access requirements follows it and reaches an affected response. Cookie disclosure depends on cookie attributes, and server-side code execution or availability impact is not established. This issue is fixed in version 2.15.0.
CVE-2026-88985
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.17.0, the API server trusts structural SQL identifier fields decoded from the base64-encoded JSON page_token parameter before constructing list queries. An attacker who can invoke an affected pipeline or run list API can inject through KeyFieldName or SortByFieldName, including v1beta1 and v2beta1 run-listing metric paths, and read data available to the API server database account across namespaces. Database modification is not established. This issue is fixed in version 2.17.0.
CVE-2026-88983
Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.17.0, the API server's pipeline and pipeline-version creation paths fetch a caller-supplied pipelineURL without restricting the destination. An authenticated caller with permission to create a pipeline or pipeline version can make requests from the API server to internal services and observe a limited status-code oracle. Arbitrary response-body disclosure, credential theft, and integrity or availability impact are not established. This issue is fixed in version 2.17.0.